Top Senior Data Science Jobs in Minneapolis, MN

The Data Scientist 2 will design and deploy machine learning solutions, drive model lifecycles, ensure compliance, and communicate insights. Requires extensive experience in healthcare data, modeling, and cross-functional collaboration.

The Senior Data Scientist will leverage AI/ML for predictive modeling, uncover insights from data, and lead collaborative initiatives. They will optimize models and implement solutions across various domains.

The Principal Data Scientist will lead the development of AI/ML systems in healthcare, addressing complex challenges and mentoring junior data scientists. Responsibilities include designing scalable solutions, developing Generative AI applications, and ensuring responsible AI practices.

The Principal Data Scientist will design and implement advanced AI/ML systems, lead development of large-scale machine learning solutions, and drive AI innovation in healthcare while mentoring other data scientists.

The Principal Data Scientist will lead empirical analyses to inform clinical operations, identify new programs, and optimize business strategies through end-to-end analytics pipeline management and effective communication with stakeholders.

Lead the design and development of scalable data platforms, ensure performance and reliability, mentor engineers, and drive data governance and quality practices.

The Data Science Specialist will apply machine learning and statistical modeling in R&D, collaborating with scientists on experiments and product developments, teaching statistical principles, and contributing to strategy and measurement practices.

As a Senior Data Scientist, you will collaborate with cross-functional teams to drive AI/ML product development, analyze user data, and influence product strategies.

Lead development of a greenfield data product by partnering with customers and product teams to build analytics and models (simulation, Bayesian networks, optimization, ML). Maintain existing analytics, improve predictive churn models, and translate customer needs into production-grade SQL/dbt pipelines, dashboards, and data-driven product features.

The Lead Risk Analytics Data Scientist will develop risk pricing, design data models, automate workflows, and communicate insights to leadership. Responsibilities include owning the risk narrative, building analytics foundations, and utilizing AI to enhance efficiency.

As the Staff Data Scientist, you will lead the data science function, driving strategy, mentoring peers, and shaping product direction through advanced analytics and experimentation.

Lead the development of outfit completion models by combining client preferences and machine learning to improve personalized recommendations at Stitch Fix.

As a Senior Data Scientist, you will lead high-complexity projects, develop ML and NLP solutions, and collaborate across teams to drive business impact through statistical modeling and data analysis.

This role involves partnering with sales to design data-driven solutions, engaging with customers, and supporting pre-sales engagements.

Lead end-to-end data science projects: build, deploy, and monitor ML models (credit risk, pricing, collections, fraud). Partner cross-functionally, productionize pipelines, write production-grade code, and communicate results to technical and non-technical stakeholders.

As a Staff Data Scientist, you'll develop and deploy machine learning models to enhance renter experiences and optimize property partnerships, collaborating across teams to translate data insights into actionable strategies.

The Data Scientist will apply causal inference and data analysis to optimize marketing strategies, collaborate with teams, and lead internal research efforts.

Design, develop, and deploy production machine learning models to improve decisioning for consumer lending. Partner with business and technical teams to develop data sources, improve modeling methodology, manage models in production, and mentor others while practicing strong software engineering and MLOps practices.

The Senior Data Scientist will lead data analysis for AI products, collaborating with teams to influence product strategy and drive measurable business impact.

This role involves leading data science projects, designing technical solutions, implementing machine learning methodologies, and developing data workflows for cybersecurity applications.

As a Staff Data Scientist, you'll design and optimize ML systems for claims handling automation, collaborating with product and engineering teams.

The Supply Chain Data Scientist develops analytics to enhance supply chain efficiency and reliability, working with operational data to optimize network performance and decision making.

Lead the design and deployment of machine learning solutions to address healthcare challenges, mentor data scientists, and ensure model compliance and interpretability.

The Senior Data Scientist will build models and analyses, design experiments, integrate datasets, and leverage AI for improved workflows and insights in data science.

The role involves designing and interpreting experiments, leading cross-functional teams, mentoring data scientists, and analyzing data using statistical methods to inform product development.